package com.demo.wordcount;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import java.io.IOException;

public class WcDirver {
    public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
        //1、获取Job
        Configuration conf = new Configuration();
        Job job = Job.getInstance(conf);
        //2、设置jar路径
        job.setJarByClass(WcDirver.class);
        //3、关联map和reduce
        job.setMapperClass(WcMaper.class);
        job.setReducerClass(WcReducer.class);
        //4、设置map输出kv类型
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(IntWritable.class);
        //5、设置最终数据kv类型
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
        // 6、设置输入路径和输出路径
        FileInputFormat.setInputPaths(job, new Path("D:\\Code\\IdeaProjects\\MapReduceDemo\\test_data\\in\\text"));
        FileOutputFormat.setOutputPath(job, new Path("D:\\Code\\IdeaProjects\\MapReduceDemo\\output"));
        //7、提交Job
        boolean result = job.waitForCompletion(true);
        System.exit(result ? 0 : 1);

    }
}
